Latest AI and machine learning research in head trauma for healthcare professionals.
This study explores the progression of intracerebral hemorrhage (ICH) in patients with mild to moder...
The underlying brain mechanisms of ketamine in treating chronic suicidality and the characteristics ...
OBJECTIVE: The machine-learning head model (MLHM) to accelerate the calculation of brain strain and ...
The post-effects of the COronaVIrus Disease (COVID-19) vary depending on socioeconomic and biologica...
AIMS: To identify peri- and post-menopausal women at risk of non-communicable diseases in rural Indi...
BACKGROUND: Traumatic brain injury (TBI) has become a major source of disability worldwide, increasi...
This study investigates the application of cavitation in non-invasive abdominal fat reduction and bo...
In contact sports such as rugby, players are at risk of sustaining traumatic brain injuries (TBI) du...
OBJECTIVE: The objective is to determine whether unsupervised machine learning identifies traumatic ...
PURPOSE: The aim of this study was to develop and validate a machine learning (ML) model for predict...
This study aimed to compare the accuracy of IFN-Ï„ stimulated gene abundance (ISGs) in peripheral blo...
Human instructors fluidly communicate with hand gestures, head and body movements, and facial expres...
BACKGROUND: Post-traumatic stress disorder (PTSD) poses a global public health challenge. Evidence-b...
Analyzing the basal ganglia following an early brain lesion is crucial due to their noteworthy role ...
Messenger RNA (mRNA) is vital for post-transcriptional gene regulation, acting as the direct templat...
This retrospective study applied machine-learning models to predict treatment outcomes of women unde...
COVID-19 is an infectious respiratory disease that has had a significant impact, resulting in a rang...
Here, we present a workflow for analyzing multi-omics data of plasma samples in patients with post-C...
INTRODUCTION: Assessing the cumulative degree of bowel injury in ileal Crohn's disease (CD) is diffi...
BACKGROUND: Deep learning model trained on a large image dataset, can be used to detect and discrimi...
The mechanisms underlying the many phenotypic manifestations of post-acute COVID-19 syndrome (PACS) ...